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opensecura / 3p / openxla / iree / 5b653b0514889e068f8960641c7a5d524831d9da
commit5b653b0514889e068f8960641c7a5d524831d9da[log] [tgz]
authorMaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com>Wed Jul 28 11:10:07 2021 -0700
committerGitHub <noreply@github.com>Wed Jul 28 11:10:07 2021 -0700
tree639e10788ac4cf13af0286dcf2fef0817310de8b
parent3eeed90f7f73eac8d83e25c4ba756f5164c0600f [diff]
Enable e2e tests using TiledOpInterface for Dispatch region creation. (#6562)

The e2e test is enable by changing the lowering of MHLO -> LinalgExt
ops to not insert the flow.dispatch.workgroups op. Instead the
dispatch region formation operations automatically pick these up.
Also required the following changes

- Make the tiling algorithm on TiledOpInterface not emit the
  tensor.insert_slice ops. Instead make the getTiledImplementation
  interface method insert the ops if needed. This simplifies the
  interface method signature and the tiling algorithm itself.
- Update the utility method for destructive update rewrites to
  recognize that LinalgOp/LinalgExtOp can themselves do
  destructive updates. The change to make TiledOpInterface not emit
  the tensor.insert_slice always helps in this.
16 files changed
tree: 639e10788ac4cf13af0286dcf2fef0817310de8b
  1. .github/
  2. benchmarks/
  3. bindings/
  4. build_tools/
  5. colab/
  6. docs/
  7. experimental/
  8. integrations/
  9. iree/
  10. scripts/
  11. third_party/
  12. .bazelignore
  13. .bazelrc
  14. .bazelversion
  15. .clang-format
  16. .gitignore
  17. .gitmodules
  18. .style.yapf
  19. .yamllint.yml
  20. AUTHORS
  21. BUILD.bazel
  22. CMakeLists.txt
  23. configure_bazel.py
  24. CONTRIBUTING.md
  25. LICENSE
  26. README.md
  27. SUBMODULE_VERSIONS.txt
  28. WORKSPACE
README.md

IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.

See our website for project details, user guides, and instructions on building from source.

Project Status

IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!

Communication Channels

Related Project Channels

  • MLIR topic within LLVM Discourse: IREE is enabled by and heavily relies on MLIR. IREE sometimes is referred to in certain MLIR discussions. Useful if you are also interested in MLIR evolution.

Build Status

CI SystemBuild SystemPlatformArchitectureConfiguration / ComponentStatus
KokoroBazelLinuxx86-64kokoro_status_bazel/linux/x86-swiftshader/core
KokoroCMake & BazelLinuxx86-64 (swiftshader)Integrationskokoro status cmake-bazel/linux/x86-swiftshader
KokoroCMake & BazelLinuxx86-64 (turing)Integrationskokoro status cmake-bazel/linux/x86-turing
KokoroCMakeLinuxx86-64 (swiftshader)kokoro status cmake/linux/x86-swiftshader
KokoroCMakeLinuxx86-64 (swiftshader)asankokoro status cmake/linux/x86-swiftshader-asan
KokoroCMakeLinuxx86-64 (turing)kokoro status cmake/linux/x86-turing
KokoroCMakeAndroidarm64-v8aRuntime (build only)kokoro status cmake/android/arm64-v8a
KokoroCMakeBare Metalrisc-v-32Runtimekokoro status cmake/baremetal/riscv32
KokoroCMakeLinuxrisc-v-64Runtimekokoro status cmake/linux/riscv64
BuildkiteCMakeAndroidarm64-v8aRuntimebuildkite status iree-android-arm64-v8a
BuildKiteCMakeAndroidarm64-v8aRuntime Benchmarks (Mako)buildkite status iree-android-benchmark
BuildKiteCMakeAndroidarm64-v8aRuntime Benchmarksbuildkite status iree-benchmark
BuildKiteCMakeLinuxx86-64Tracing + Standalone Runtimebuildkite status iree-build-configurations

Presentations and Talks

  • 2020-08-20: IREE CodeGen: MLIR Open Design Meeting Presentation (recording and slides)
  • 2020-03-18: Interactive HAL IR Walkthrough (recording)
  • 2020-01-31: End-to-end MLIR Workflow in IREE: MLIR Open Design Meeting Presentation (recording and slides)

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.